Arista Company Profile
A filing-grounded company profile for AI networking fabric economics, showing how cloud switching demand can produce operating leverage with far lower direct CapEx intensity than manufacturing-heavy infrastructure layers.
This company profile maps public filing metrics, operating context, and infrastructure exposure within CM Terminal’s personal analytical framework.
Company profile
Company Profile: Arista
Role: AI networking fabric / cloud switching profile.
Built from Form 10-K filings using the CM Terminal Analytics methodology.
Why this profile matters
Arista provides the networking-fabric contrast case inside the AI infrastructure map. Its latest filing-backed row is part of the current eight-company issuer-level Profit Capture vs Capital Burden comparison, where operating margin and direct CapEx intensity are read alongside compute, foundry, memory, equipment, and hybrid infrastructure profiles.
FY2024 highlights
Revenue
$7,003.1M
Gross Margin
64.13%
Operating Margin
42.05%
R&D Intensity
14.23%
CapEx Intensity
0.46%
Four-year view
| Fiscal Year | Revenue | Revenue Growth | Gross Margin | Operating Margin | R&D Intensity | CapEx Intensity | Dataset row |
|---|---|---|---|---|---|---|---|
| 2021 | $2,948.0M | — | 63.80% | 31.37% | 19.90% | 2.20% | Filing row |
| 2022 | $4,381.3M | 48.62% | 61.07% | 34.86% | 16.63% | 1.02% | Filing row |
| 2023 | $5,860.2M | 33.75% | 61.95% | 38.52% | 14.59% | 0.59% | Filing row |
| 2024 | $7,003.1M | 19.50% | 64.13% | 42.05% | 14.23% | 0.46% | Filing row |
Dataset note: The Dataset row column records the label attached to each filing-backed row in the project dataset. Definitions appear in Analytics Methodology & Data Policy.
Arista filing figures are stored as USD millions after conversion from USD thousands in the SEC Form 10-K tables.
CapEx uses purchases of property, equipment and intangible assets and is stored as a positive magnitude.
Arista Revenue Trend
Fiscal-year revenue from Arista Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Arista Form 10-K filings. Amounts stored in USD millions.
What this chart shows: The revenue series shows sustained top-line expansion from FY2021 to FY2024, making Arista useful as a networking-demand profile rather than a static infrastructure supplier.
Arista Margin Trend
Gross margin and operating margin from Arista Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Arista Form 10-K filings. Ratios calculated from stored USD millions figures.
What this chart shows: Operating margin rises across the filing-backed period while gross margin remains comparatively stable, suggesting improving full-company operating leverage rather than only product-level gross margin expansion.
Arista Reinvestment Intensity Trend
R&D intensity and CapEx intensity calculated from Arista Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Arista Form 10-K filings. Ratios calculated from stored USD millions figures.
What this chart shows: R&D intensity declines as revenue scales, while direct CapEx intensity remains low. This is the key contrast with foundry, memory, and other manufacturing-heavy companies.
R&D intensity = R&D expense / revenue. CapEx intensity = capital expenditure / revenue.
What the filing data suggests
Fiscal years in this profile: FY2021, FY2022, FY2023, FY2024.
What Arista contributes to the AI Infrastructure Economics comparison as a networking fabric profile.
Main analytical tension
AI networking demand vs cloud customer concentration
Arista adds the networking-fabric layer to the AI infrastructure map, but its issuer-level read still depends on cloud customer demand, network architecture cycles, and whether AI cluster networking can remain a durable growth driver.
This profile is descriptive issuer-level analysis. Methodology and non-advisory boundaries are documented in Analytics Methodology & Data Policy.
Networking fabric role
Cloud switching and AI cluster networking exposure position Arista as the networking-layer issuer in the current comparison set.
Capital-light contrast
Compared with foundry, memory, and equipment-heavy layers, Arista provides a cleaner capital-light infrastructure contrast.
Operating leverage signal
The multi-year window points to revenue scale and operating-margin expansion, making Arista useful for testing whether networking fabric economics behave differently from compute and manufacturing companies.
Comparison status
Arista is the networking fabric company profile in the current eight-company Profit Capture vs Capital Burden comparison.
Analytical difficulty
What this profile can show
Arista can prove that AI infrastructure extends into networking fabric, cloud switching, and Ethernet-based data-center architectures.
What this profile cannot isolate
It cannot prove pure AI networking revenue. Issuer-level metrics remain mixed across cloud and data-center switching demand, cloud and AI-related customer categories referenced in the hub and methodology, and enterprise, campus, routing, provider, software/services, and customer concentration. This makes Arista a strong infrastructure-extension profile, not a pure AI networking revenue stream.
Main unresolved bridge
The unresolved bridge is connecting those mixed hub- and methodology-referenced disclosures more directly to AI-cluster networking demand.
Reference
Source & Methodology
How the Arista profile data is sourced, stored, and interpreted.
Official sources
Primary inputs are Arista Networks Form 10-K annual filings. Links below use the sourceUrl values stored on each stored row; fiscal-year coverage follows the filing trail described in each row's sourceNote.
FY2021 is sourced from the comparative year presentation in the 2022 Form 10-K. FY2022 through FY2024 are sourced from the 2024 Form 10-K comparative and reported-year tables, as indicated in the row-level source notes.
Used for FY2021
Used for FY2022, FY2023, FY2024
Source notes
Revenue, gross profit, income from operations, and R&D are taken from the consolidated statements of income or operations as described in each row's filing note. CapEx uses the consolidated statements of cash flows line item "purchases of property, equipment and intangible assets." Figures are converted from USD thousands to USD millions in the project file. Fiscal year is calendar-year aligned and ends December 31. CapEx is stored as a positive magnitude.
Fiscal-year treatment
The fiscalYear field uses Arista's reported fiscal-year label (for example FY2024). When periodEnded is present on a row, it records the fiscal period end date for that fiscal year as stated in the filing trail for that row.
Metric construction
Raw metrics stored per fiscal year include revenue, grossProfit, operatingIncome, rdExpense, capitalExpenditure. Derived metrics include revenueGrowth, grossMargin, operatingMargin, rdIntensity, capexIntensity where present, calculated from the stored raw figures for the same row.
Dataset boundary
These rows are filing-based dataset records used for issuer-level analytics. Source rules, metric definitions, review terminology, and non-advisory boundaries are documented in Analytics Methodology & Data Policy.